Nonparametric Estimation of Continuously Parametrized Families of Probability Density Functions - Computational Aspects.
Wojciech RafajlowiczPublished in: Algorithms (2020)
Keyphrases
- probability density function
- nonparametric estimation
- probability density
- density function
- density estimation
- probability distribution
- gaussian mixture
- kernel density estimation
- mixture model
- gaussian mixture model
- kullback leibler divergence
- bayesian framework
- texture descriptors
- statistical methods
- class conditional
- bayesian formulation
- higher order statistics
- generalized gaussian
- expectation maximization
- bayesian networks
- probability distribution functions
- information retrieval
- em algorithm
- parzen window
- low dimensional